Triple
T17799102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Winslow |
E444373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wentzlaff
Wentzlaff is the surname of American former child actor George Winslow, known for his distinctive deadpan delivery in 1950s films.
|
E1287668
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wentzlaff | Statement: [George Winslow, familyName, Wentzlaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wentzlaff Context triple: [George Winslow, familyName, Wentzlaff]
-
A.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
B.
Lutze
Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
-
C.
Getzlaf
Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
-
D.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
E.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wentzlaff Triple: [George Winslow, familyName, Wentzlaff]
Generated description
Wentzlaff is the surname of American former child actor George Winslow, known for his distinctive deadpan delivery in 1950s films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wentzlaff Target entity description: Wentzlaff is the surname of American former child actor George Winslow, known for his distinctive deadpan delivery in 1950s films.
-
A.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
B.
Lutze
Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
-
C.
Getzlaf
Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
-
D.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
E.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f84095f48190985b20bc8f049e5b |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f9078e088190b2e84f219f7457ed |
completed | May 12, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f98c91a481909739f2a8a681286d |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 10:13 a.m.